| CatBoost: unbiased boosting with categorical features L Prokhorenkova, G Gusev, A Vorobev, AV Dorogush, A Gulin Advances in neural information processing systems 31, 2018 | 4978 | 2018 |
| Prediction of retweet cascade size over time A Kupavskii, L Ostroumova, A Umnov, S Usachev, P Serdyukov, G Gusev, ... Proceedings of the 21st ACM international conference on Information and …, 2012 | 236 | 2012 |
| A critical look at the evaluation of GNNs under heterophily: Are we really making progress? O Platonov, D Kuznedelev, M Diskin, A Babenko, L Prokhorenkova arXiv preprint arXiv:2302.11640, 2023 | 207 | 2023 |
| Shifts: A dataset of real distributional shift across multiple large-scale tasks A Malinin, N Band, G Chesnokov, Y Gal, MJF Gales, A Noskov, ... arXiv preprint arXiv:2107.07455, 2021 | 151 | 2021 |
| Uncertainty in gradient boosting via ensembles A Malinin, L Prokhorenkova, A Ustimenko arXiv preprint arXiv:2006.10562, 2020 | 115 | 2020 |
| Boost then convolve: Gradient boosting meets graph neural networks S Ivanov, L Prokhorenkova arXiv preprint arXiv:2101.08543, 2021 | 75 | 2021 |
| Generalized preferential attachment: tunable power-law degree distribution and clustering coefficient L Ostroumova, A Ryabchenko, E Samosvat Algorithms and Models for the Web Graph: 10th International Workshop, WAW …, 2013 | 67 | 2013 |
| Graph-based nearest neighbor search: From practice to theory L Prokhorenkova, A Shekhovtsov International Conference on Machine Learning, 7803-7813, 2020 | 62 | 2020 |
| Advances in neural information processing systems L Prokhorenkova, G Gusev, A Vorobev, AV Dorogush, A Gulin, S Bengio, ... NeurIPS 2018, 6638-6648, 2018 | 60 | 2018 |
| Community detection through likelihood optimization: in search of a sound model L Prokhorenkova, A Tikhonov The World Wide Web Conference, 1498-1508, 2019 | 45 | 2019 |
| Modularity of Complex Networks Models. LO Prokhorenkova, P Pralat, AM Raigorodskii WAW, 115-126, 2016 | 44 | 2016 |
| Good classification measures and how to find them M Gösgens, A Zhiyanov, A Tikhonov, L Prokhorenkova Advances in neural information processing systems 34, 17136-17147, 2021 | 41 | 2021 |
| Catboost: unbiased boosting with categorical features, 2017 L Prokhorenkova, G Gusev, A Vorobev, AV Dorogush, A Gulin arXiv preprint arXiv:1706.09516 201, 2017 | 41 | 2017 |
| Characterizing graph datasets for node classification: Homophily-heterophily dichotomy and beyond O Platonov, D Kuznedelev, A Babenko, L Prokhorenkova Advances in Neural Information Processing Systems 36, 2024 | 37 | 2024 |
| Global clustering coefficient in scale-free networks L Ostroumova Prokhorenkova, E Samosvat Algorithms and Models for the Web Graph: 11th International Workshop, WAW …, 2014 | 36 | 2014 |
| Characterizing graph datasets for node classification: Beyond homophily-heterophily dichotomy O Platonov, D Kuznedelev, A Babenko, L Prokhorenkova arXiv preprint arXiv:2209.06177 21, 2022 | 35 | 2022 |
| Modularity in several random graph models LO Prokhorenkova, P Prałat, A Raigorodskii Electronic Notes in Discrete Mathematics 61, 947-953, 2017 | 32 | 2017 |
| Local clustering coefficient in generalized preferential attachment models A Krot, L Ostroumova Prokhorenkova Algorithms and Models for the Web Graph: 12th International Workshop, WAW …, 2015 | 30 | 2015 |
| Systematic analysis of cluster similarity indices: How to validate validation measures MM Gösgens, A Tikhonov, L Prokhorenkova International Conference on Machine Learning, 3799-3808, 2021 | 26 | 2021 |
| SGLB: Stochastic gradient langevin boosting A Ustimenko, L Prokhorenkova International Conference on Machine Learning, 10487-10496, 2021 | 26 | 2021 |